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BMCBI
2007
172views more  BMCBI 2007»
13 years 6 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
PERVASIVE
2011
Springer
12 years 9 months ago
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems
Abstract. Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, adv...
Salvatore Scellato, Mirco Musolesi, Cecilia Mascol...
NIPS
2007
13 years 8 months ago
Locality and low-dimensions in the prediction of natural experience from fMRI
Functional Magnetic Resonance Imaging (fMRI) provides dynamical access into the complex functioning of the human brain, detailing the hemodynamic activity of thousands of voxels d...
Francois Meyer, Greg Stephens
ICCAD
2006
IEEE
138views Hardware» more  ICCAD 2006»
14 years 3 months ago
Analytical modeling of SRAM dynamic stability
In this paper, for the first time, a theory for evaluating dynamic noise margins of SRAM cells is developed analytically. The results allow predicting the transient error suscepti...
Bin Zhang, Ari Arapostathis, Sani R. Nassif, Micha...
JDCTA
2010
155views more  JDCTA 2010»
13 years 1 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao